The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Near-maximal fractional oxygen extraction by active skeletal muscle in patients with chronic heart failure
Abstract
Systemic oxygen uptake and deep femoral vein oxygen content were determined at peak exercise in 53 patients with chronic heart failure with impaired systolic function (mean left ventricular ejection fraction 0.18; n = 41) or preserved systolic function (mean left ventricular ejection fraction 0.70; n = 12) and in 6 age-matched sedentary normal subjects. At peak exercise, deep femoral vein oxygen content in heart failure patients with impaired systolic function and preserved systolic function were similar, both significantly lower than that of normal subjects (2.5 ± 0.1, 2.9 ± 0.2, and 5.0 ± 0.1 ml/100 ml, respectively; P< 0.05). Deep femoral venous oxygen content was lower in patients with the greater impairment of aerobic capacity, regardless of the underlying systolic function ( r = 0.72, P < 0.01). Fractional oxygen extraction in the skeletal muscle at peak exercise is enhanced in patients with chronic heart failure when compared with normal subjects, in proportion to the degree of aerobic impairment.
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“At maximal work levels 90% of the oxygen carrying capacity may be needed (Katz et al., 2000).”
From Effects of Habitual Smoking on Cardiorespiratory Responses to Sub-maximal Exercise (2004) · cites this paper as Katz et al., 2000
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Cites
An overview of the issues: physiological effects of bed rest and restricted physical activity
CONVERTINO, V. A., BLOOMFIELD, S. A., & GREENLEAF, J. E. (1997) · Medicine & Science in Sports & Exercise · doi:10.1097/00005768-199702000-00004 · Cited by 309 · cited 3×
“Diffusion capacity in the skeletal muscle microcirculation does not change in response to deconditioning because capillary-to-fiber ratio and fiber cross-sectional area decrease in proportion to one another (4, 18, 19).”
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Cited by
Haykowsky, M. J., Brubaker, P. H., Morgan, T. M., Kritchevsky, S., Eggebeen, J., & Kitzman, D. W. (2013) · The Journals of Gerontology Series A: Biological Sciences and Medical Sciences · doi:10.1093/gerona/glt011 · Cited by 189
Effects of Habitual Smoking on Cardiorespiratory Responses to Sub-maximal Exercise
Kobayashi, Y., Takeuchi, T., Hosoi, T., & Loeppky, J. A. (2004) · Journal of PHYSIOLOGICAL ANTHROPOLOGY and Applied Human Science · doi:10.2114/jpa.23.163 · Cited by 72
Myoglobin concentration in skeletal muscle fibers of chronic heart failure patients
Bekedam, M. A., van Beek-Harmsen, B. J., van Mechelen, W., Boonstra, A., & van der Laarse, W. J. (2009) · Journal of Applied Physiology · doi:10.1152/japplphysiol.00149.2009 · Cited by 37
Metadata
- Authors
- Katz, S. D., Maskin, C., Jondeau, G., Cocke, T., Berkowitz, R., & LeJemtel, T.
- Affiliations
- Division of Circulatory Physiology, Department of Medicine, Columbia University College of Physicians and Surgeons, Columbia Presbyterian Medical Center, New York 10032; and
- Division of Cardiology, Department of Medicine, The Albert Einstein College of Medicine, Bronx, New York 10461
- Venue
- Journal of Applied Physiology
- Publisher
- American Physiological Society
- Published
- 2000-06-01
- Volume
- 88
- Issue
- 6
- Pages
- 2138-2142
- ISSN
- 8750-7587
- 1522-1601
- Cited by
- 65
- References
- 1
- Language
- en
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
